2019Journal of textile and apparel technology and managementOpen access

Influence of Denim Fabrics Properties and Sewing Parameters upon the Seam Slippage and Seam Quality Prediction

Sarah Malek, Faouzi Kheder, Boubaker Jaouachi, Morched Cheikhrouhou

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Abstract

The proposed study combines two programs, which are MINITAB-17 and Excel. At first, by used Minitab-17, an experimental investigation of the effect of the seam threads linear density, the stitch density and some fabric properties on the seam slippage behavior. Furthermore, six regression models were determined and discussed in order to predict the seam slippage. Then, an Excel application was realized. The principle consists in entering the input parameters and the slippage quality will be displayed automatically. In this work, eighteen denim fabrics, having different compositions and masses, were sewn with two commercial sewing threads. Their performances, ranked according to the seam quality, were also determined in the first part. It was concluded that the increase of the seam thread linear density decreases the seam slippage, as well as the stitch density. However, the fabric mass has a random effect on seam slippage. It may be concluded that the seam slippage is more important in the warp direction than in the weft one. About the composition, the elastane and the polyester decrease the seam slippage. In the second part, on the basis of the seam quality parameters, regression models, for each blend composition and sewing direction, were determined in order to predict seam slippage thanks to statistical software.

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What this paper is about

The proposed study combines two programs, which are MINITAB-17 and Excel. At first, by used Minitab-17, an experimental investigation of the effect of the seam threads linear density, the stitch density and some fabric properties on the seam slippage behavior. Furthermore, six regression models were determined and discussed in order to predict the seam slippage. Then, an Excel application was realized. The principle consists in entering the input parameters and the slippage quality will be displayed automatically. In this work, eighteen denim fabrics, having different compositions and masses, were sewn with two commercial sewing threads. Their performances, ranked according to the seam quality, were also determined in the first part. It was concluded that the increase of the seam thread linear density decreases the seam slippage, as well as the stitch density. However, the fabric mass has a random effect on seam slippage. It may be concluded that the seam slippage is more important in the warp direction than in the weft one. About the composition, the elastane and the polyester decrease the seam slippage. In the second part, on the basis of the seam quality parameters, regression models, for each blend composition and sewing direction, were determined in order to predict seam slippage thanks to statistical software.

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Available abstract

The proposed study combines two programs, which are MINITAB-17 and Excel. At first, by used Minitab-17, an experimental investigation of the effect of the seam threads linear density, the stitch density and some fabric properties on the seam slippage behavior. Furthermore, six regression models were determined and discussed in order to predict the seam slippage. Then, an Excel application was realized. The principle consists in entering the input parameters and the slippage quality will be displayed automatically. In this work, eighteen denim fabrics, having different compositions and masses, were sewn with two commercial sewing threads. Their performances, ranked according to the seam quality, were also determined in the first part. It was concluded that the increase of the seam thread linear density decreases the seam slippage, as well as the stitch density. However, the fabric mass has a random effect on seam slippage. It may be concluded that the seam slippage is more important in the warp direction than in the weft one. About the composition, the elastane and the polyester decrease the seam slippage. In the second part, on the basis of the seam quality parameters, regression models, for each blend composition and sewing direction, were determined in order to predict seam slippage thanks to statistical software.

Key concepts: Slippage, Thread (computing), Denim, Yarn, Linear regression, Linear density, Engineering, Materials science

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Influence of Denim Fabrics Properties and Sewing Parameters upon the Seam Slippage and Seam Quality Prediction — Research Paper | ScholarLens